Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots
The spatial arrangement of taxi hotspots indicates their inherent distribution relationships, reflecting their spatial organization structure, and has received attention in urban studies. Previous studies have primarily explored large-scale hotspots through visual analysis or simple indices, which t...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2441924 |
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| _version_ | 1841554971726708736 |
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| author | Xiao-Jian Chen Quanhua Dong Changjiang Xiao Zhou Huang Keli Wang Weiyu Zhang Yu Liu |
| author_facet | Xiao-Jian Chen Quanhua Dong Changjiang Xiao Zhou Huang Keli Wang Weiyu Zhang Yu Liu |
| author_sort | Xiao-Jian Chen |
| collection | DOAJ |
| description | The spatial arrangement of taxi hotspots indicates their inherent distribution relationships, reflecting their spatial organization structure, and has received attention in urban studies. Previous studies have primarily explored large-scale hotspots through visual analysis or simple indices, which typically spans hundreds or even thousands of meters. However, the spatial arrangement patterns of small-scale hotspots representing specific popular pick-up and drop-off locations have been largely overlooked. In this study, we quantitatively examine the spatial arrangement of local hotspots in Wuhan and Beijing, China, using taxi trajectory data. Local hotspots are small-scale hotspots with the highest density near the center. Their optimal radius is adaptively calculated based on the data, which is 90 m × 90 m and 110 m × 110 m in Wuhan and Beijing, respectively. Popular hotspots are typically surrounded by less popular ones, although regions with many popular hotspots inhibit the presence of less popular ones. These configurations are termed as hierarchical accompanying and inhibiting patterns. Finally, inspired by both patterns, a KNN-based model is developed to describe these relationships and successfully reproduce the spatial distribution of less popular hotspots based on the most popular ones. These insights enhance our understanding of local urban structures and support urban planning. |
| format | Article |
| id | doaj-art-d97e7380b0a64f15bf1fc05cd5e377a0 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-d97e7380b0a64f15bf1fc05cd5e377a02025-01-08T07:38:22ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552024-12-0117110.1080/17538947.2024.2441924Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspotsXiao-Jian Chen0Quanhua Dong1Changjiang Xiao2Zhou Huang3Keli Wang4Weiyu Zhang5Yu Liu6Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People’s Republic of ChinaInstitute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People’s Republic of ChinaCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, People’s Republic of ChinaInstitute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People’s Republic of ChinaInstitute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People’s Republic of ChinaInstitute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People’s Republic of ChinaInstitute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People’s Republic of ChinaThe spatial arrangement of taxi hotspots indicates their inherent distribution relationships, reflecting their spatial organization structure, and has received attention in urban studies. Previous studies have primarily explored large-scale hotspots through visual analysis or simple indices, which typically spans hundreds or even thousands of meters. However, the spatial arrangement patterns of small-scale hotspots representing specific popular pick-up and drop-off locations have been largely overlooked. In this study, we quantitatively examine the spatial arrangement of local hotspots in Wuhan and Beijing, China, using taxi trajectory data. Local hotspots are small-scale hotspots with the highest density near the center. Their optimal radius is adaptively calculated based on the data, which is 90 m × 90 m and 110 m × 110 m in Wuhan and Beijing, respectively. Popular hotspots are typically surrounded by less popular ones, although regions with many popular hotspots inhibit the presence of less popular ones. These configurations are termed as hierarchical accompanying and inhibiting patterns. Finally, inspired by both patterns, a KNN-based model is developed to describe these relationships and successfully reproduce the spatial distribution of less popular hotspots based on the most popular ones. These insights enhance our understanding of local urban structures and support urban planning.https://www.tandfonline.com/doi/10.1080/17538947.2024.2441924Spatial arrangementtaxi hotspotslocal structureaccompanying and inhibiting patterns |
| spellingShingle | Xiao-Jian Chen Quanhua Dong Changjiang Xiao Zhou Huang Keli Wang Weiyu Zhang Yu Liu Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots International Journal of Digital Earth Spatial arrangement taxi hotspots local structure accompanying and inhibiting patterns |
| title | Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots |
| title_full | Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots |
| title_fullStr | Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots |
| title_full_unstemmed | Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots |
| title_short | Hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots |
| title_sort | hierarchical accompanying and inhibiting patterns on the spatial arrangement of taxi local hotspots |
| topic | Spatial arrangement taxi hotspots local structure accompanying and inhibiting patterns |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2441924 |
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